Last updated on 2026-05-23 02:52:24 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 3.0.4 | 14.48 | 75.14 | 89.62 | OK | |
| r-devel-linux-x86_64-debian-gcc | 3.0.4 | 17.10 | 52.66 | 69.76 | OK | |
| r-devel-linux-x86_64-fedora-clang | 3.0.4 | 28.00 | 125.49 | 153.49 | OK | |
| r-devel-linux-x86_64-fedora-gcc | 3.0.4 | 28.00 | 130.07 | 158.07 | OK | |
| r-devel-windows-x86_64 | 3.0.4 | 20.00 | 124.00 | 144.00 | OK | |
| r-patched-linux-x86_64 | 3.0.3 | 13.60 | 69.57 | 83.17 | OK | |
| r-release-linux-x86_64 | 3.0.3 | 21.91 | 70.47 | 92.38 | OK | |
| r-release-macos-arm64 | 3.0.4 | 4.00 | 25.00 | 29.00 | OK | |
| r-release-macos-x86_64 | 3.0.3 | 10.00 | 89.00 | 99.00 | OK | |
| r-release-windows-x86_64 | 3.0.4 | 21.00 | 130.00 | 151.00 | ERROR | |
| r-oldrel-macos-arm64 | 3.0.4 | 3.00 | 30.00 | 33.00 | OK | |
| r-oldrel-macos-x86_64 | 3.0.3 | 10.00 | 124.00 | 134.00 | OK | |
| r-oldrel-windows-x86_64 | 3.0.3 | 23.00 | 163.00 | 186.00 | OK |
Version: 3.0.4
Check: tests
Result: ERROR
Running 'tinytest.R' [7s]
Running the tests in 'tests/tinytest.R' failed.
Complete output:
> if ( requireNamespace("tinytest", quietly=TRUE) ){
+ tinytest::test_package("backbone")
+ }
____ backbone v3.0.4
| _ \ Cite: Neal, Z. P. (2026). backbone: An R package to extract network backbones.
|#|_) | PLOS One, 21, e0349258. https://doi.org/10.1371/journal.pone.0349258
|# _ <
|#|_) | Help: type vignette("backbone"); email zpneal@msu.edu; github zpneal/backbone
|____/ Beta: type devtools::install_github("zpneal/backbone", ref = "devel")
test_backbone.R............... 0 tests
test_backbone.R............... 0 tests
test_backbone.R............... 1 tests OK
test_backbone.R............... 1 tests OK
test_backbone.R............... 1 tests OK
test_backbone.R............... 2 tests OK
test_backbone.R............... 3 tests OK
test_backbone.R............... 3 tests OK
test_backbone.R............... 3 tests OK
test_backbone.R............... 3 tests OK
test_backbone.R............... 4 tests OK
test_backbone.R............... 4 tests OK
test_backbone.R............... 4 tests OK
test_backbone.R............... 4 tests OK
test_backbone.R............... 4 tests OK
test_backbone.R............... 5 tests OK
test_backbone.R............... 5 tests OK
test_backbone.R............... 5 tests OK
test_backbone.R............... 5 tests OK
test_backbone.R............... 5 tests OK
test_backbone.R............... 6 tests OK
test_backbone.R............... 7 tests OK
test_backbone.R............... 8 tests OK
test_backbone.R............... 9 tests OK
test_backbone.R............... 10 tests OK
test_backbone.R............... 11 tests OK
test_backbone.R............... 12 tests OK
test_backbone.R............... 12 tests OK
test_backbone.R............... 12 tests OK
test_backbone.R............... 12 tests OK
test_backbone.R............... 12 tests OK
test_backbone.R............... 13 tests OK
test_backbone.R............... 14 tests OK
test_backbone.R............... 15 tests OK
test_backbone.R............... 16 tests OK
test_backbone.R............... 17 tests OK
test_backbone.R............... 18 tests OK
test_backbone.R............... 19 tests OK
test_backbone.R............... 19 tests OK
test_backbone.R............... 19 tests OK
test_backbone.R............... 19 tests OK
test_backbone.R............... 19 tests OK
test_backbone.R............... 20 tests OK
test_backbone.R............... 21 tests OK
test_backbone.R............... 22 tests OK
test_backbone.R............... 23 tests OK
test_backbone.R............... 24 tests OK
test_backbone.R............... 25 tests OK
test_backbone.R............... 26 tests OK
test_backbone.R............... 26 tests OK
test_backbone.R............... 26 tests OK
test_backbone.R............... 26 tests OK
test_backbone.R............... 26 tests OK
test_backbone.R............... 27 tests OK
test_backbone.R............... 28 tests OK
test_backbone.R............... 29 tests OK
test_backbone.R............... 30 tests OK
test_backbone.R............... 31 tests OK
test_backbone.R............... 32 tests OK
test_backbone.R............... 33 tests OK
test_backbone.R............... 33 tests OK
test_backbone.R............... 33 tests OK
test_backbone.R............... 33 tests OK
test_backbone.R............... 33 tests OK
test_backbone.R............... 34 tests OK
test_backbone.R............... 35 tests OK
test_backbone.R............... 36 tests OK
test_backbone.R............... 37 tests OK
test_backbone.R............... 38 tests OK
test_backbone.R............... 39 tests OK
test_backbone.R............... 40 tests OK
test_backbone.R............... 40 tests OK Constructing edges' Monte Carlo p-values
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test_backbone.R............... 40 tests OK
test_backbone.R............... 40 tests OK
test_backbone.R............... 40 tests OK
test_backbone.R............... 41 tests OK
test_backbone.R............... 42 tests OK
test_backbone.R............... 43 tests OK
test_backbone.R............... 44 tests OK
test_backbone.R............... 45 tests OK
test_backbone.R............... 46 tests OK
test_backbone.R............... 47 tests OK
test_backbone.R............... 47 tests OK
test_backbone.R............... 47 tests OK
test_backbone.R............... 47 tests OK
test_backbone.R............... 47 tests OK
test_backbone.R............... 48 tests OK
test_backbone.R............... 49 tests OK
test_backbone.R............... 50 tests OK
test_backbone.R............... 50 tests OK
test_backbone.R............... 50 tests OK
test_backbone.R............... 50 tests OK
test_backbone.R............... 50 tests OK
test_backbone.R............... 51 tests OK
test_backbone.R............... 52 tests OK
test_backbone.R............... 53 tests OK
test_backbone.R............... 53 tests OK
test_backbone.R............... 53 tests OK
test_backbone.R............... 53 tests OK
test_backbone.R............... 53 tests OK
test_backbone.R............... 54 tests OK
test_backbone.R............... 55 tests OK
test_backbone.R............... 56 tests OK
test_backbone.R............... 56 tests OK
test_backbone.R............... 56 tests OK
test_backbone.R............... 56 tests OK
test_backbone.R............... 56 tests OK
test_backbone.R............... 56 tests OK
test_backbone.R............... 57 tests OK
test_backbone.R............... 58 tests OK
test_backbone.R............... 59 tests OK
test_backbone.R............... 60 tests OK
test_backbone.R............... 61 tests OK
test_backbone.R............... 62 tests OK
test_backbone.R............... 63 tests OK
test_backbone.R............... 64 tests OK
test_backbone.R............... 65 tests OK
test_backbone.R............... 65 tests OK
test_backbone.R............... 66 tests OK
test_backbone.R............... 67 tests OK
test_backbone.R............... 68 tests OK
test_backbone.R............... 69 tests OK
test_backbone.R............... 70 tests OK
test_backbone.R............... 71 tests OK
test_backbone.R............... 72 tests OK
test_backbone.R............... 73 tests OK
test_backbone.R............... 74 tests OK
test_backbone.R............... 74 tests OK
test_backbone.R............... 75 tests OK
test_backbone.R............... 76 tests OK
test_backbone.R............... 77 tests OK
test_backbone.R............... 78 tests OK
test_backbone.R............... 79 tests OK
test_backbone.R............... 80 tests OK Constructing edges' Monte Carlo p-values
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test_backbone.R............... 80 tests OK
test_backbone.R............... 81 tests OK
test_backbone.R............... 82 tests OK
test_backbone.R............... 83 tests OK
test_backbone.R............... 84 tests OK
test_backbone.R............... 85 tests OK
test_backbone.R............... 86 tests OK
test_backbone.R............... 86 tests OK
test_backbone.R............... 87 tests OK
test_backbone.R............... 88 tests OK
test_backbone.R............... 89 tests OK
test_backbone.R............... 90 tests OK
test_backbone.R............... 91 tests OK
test_backbone.R............... 92 tests OK
test_backbone.R............... 92 tests OK
test_backbone.R............... 93 tests OK
test_backbone.R............... 94 tests OK
test_backbone.R............... 95 tests OK
test_backbone.R............... 96 tests OK
test_backbone.R............... 97 tests OK
test_backbone.R............... 98 tests OK
test_backbone.R............... 98 tests OK
test_backbone.R............... 99 tests OK
test_backbone.R............... 100 tests OK
test_backbone.R............... 101 tests OK
test_backbone.R............... 102 tests OK
test_backbone.R............... 103 tests OK
test_backbone.R............... 104 tests OK
test_backbone.R............... 104 tests OK
test_backbone.R............... 104 tests OK
test_backbone.R............... 104 tests OK
test_backbone.R............... 104 tests OK
test_backbone.R............... 104 tests OK
test_backbone.R............... 104 tests OK
test_backbone.R............... 104 tests OK
test_backbone.R............... 105 tests OK
test_backbone.R............... 106 tests OK
test_backbone.R............... 107 tests OK
test_backbone.R............... 108 tests OK
test_backbone.R............... 109 tests OK
test_backbone.R............... 110 tests OK
test_backbone.R............... 110 tests OK
test_backbone.R............... 110 tests OK
test_backbone.R............... 110 tests OK
test_backbone.R............... 110 tests OK
test_backbone.R............... 110 tests OK
test_backbone.R............... 111 tests OK
test_backbone.R............... 112 tests OK
test_backbone.R............... 113 tests OK
test_backbone.R............... 114 tests OK
test_backbone.R............... 115 tests OK
test_backbone.R............... 116 tests OK
test_backbone.R............... 117 tests OK
test_backbone.R............... 118 tests OK
test_backbone.R............... 119 tests OK
test_backbone.R............... 120 tests OK
test_backbone.R............... 121 tests OK
test_backbone.R............... 122 tests OK
test_backbone.R............... 122 tests OK
test_backbone.R............... 123 tests OK
test_backbone.R............... 124 tests OK
test_backbone.R............... 125 tests OK
test_backbone.R............... 126 tests OK Constructing edges' Monte Carlo p-values
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test_backbone.R............... 126 tests OK
test_backbone.R............... 127 tests OK
test_backbone.R............... 128 tests OK
test_backbone.R............... 129 tests OK
test_backbone.R............... 130 tests OK
test_backbone.R............... 130 tests OK
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test_backbone.R............... 407 tests 1 fails The backbone package for R (v3.0.4; Neal, 2025) was used to extract the signed backbone of the weighted projection of a bipartite network containing 30 agents and 75 artifacts. An edge was retained in the backbone if its weight was statistically significant (alpha = 0.05) using the stochastic degree sequence model (SDSM; Neal, Domagalski, and Sagan, 2021), which removed 62.5% of the edges.
Neal, Z. P. 2025. backbone: An R Package to Extract Network Backbones. CRAN. https://doi.org/10.32614/CRAN.package.backbone
Neal, Z. P., Domagalski, R., and Sagan, B. (2021). Comparing Alternatives to the Fixed Degree Sequence Model for Extracting the Backbone of Bipartite Projections. Scientific Reports, 11, 23929. https://doi.org/10.1038/s41598-021-03238-3
test_backbone.R............... 407 tests 1 fails
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test_backbone.R............... 413 tests 1 fails The backbone package for R (v3.0.4; Neal, 2025) was used to extract the unweighted backbone of a weighted network containing 10 nodes. An edge was retained in the backbone if its weight was statistically significant (alpha = 0.05) using the disparity filter (Serrano et al., 2009), which removed 57.1% of the edges.
Neal, Z. P. 2025. backbone: An R Package to Extract Network Backbones. CRAN. https://doi.org/10.32614/CRAN.package.backbone
Serrano, M. A., Boguna, M., & Vespignani, A. (2009). Extracting the multiscale backbone of complex weighted networks. Proceedings of the National Academy of Sciences, 106, 6483-6488. https://doi.org/10.1073/pnas.0808904106
test_backbone.R............... 413 tests 1 fails
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test_backbone.R............... 415 tests 1 fails The backbone package for R (v3.0.4; Neal, 2025) was used to extract the unweighted backbone of an unweighted network containing 60 nodes. Edges were selected for retention in the backbone using Local Sparsification (Satuluri, Parthasarathy, and Ruan, 2011) with filtering parameter = 0.5, which removed 70.8% of the edges.
Neal, Z. P. 2025. backbone: An R Package to Extract Network Backbones. CRAN. https://doi.org/10.32614/CRAN.package.backbone
Satuluri, V., Parthasarathy, S., & Ruan, Y. (2011, June). Local graph sparsification for scalable clustering. In Proceedings of the 2011 ACM SIGMOD International Conference on Management of data (pp. 721-732). https://doi.org/10.1145/1989323.1989399
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----- FAILED[data]: test_backbone.R<393--393>
call| expect_true(any(bb %in% c(-1)))
diff| Expected TRUE, got FALSE
Error: 1 out of 416 tests failed
Execution halted
Flavor: r-release-windows-x86_64